WestminsterResearch

Blind multidimensional matched filtering techniques for single input multiple output communications

Coskun, Adem and Kale, Izzet (2010) Blind multidimensional matched filtering techniques for single input multiple output communications. IEEE Transactions on Instrumentation and Measurement, 59 (5). pp. 1056-1064. ISSN 0018-9456

Full text not available from this repository.

Official URL: http://dx.doi.org/10.1109/TIM.2009.2038291

Abstract

In this paper, blind multidimensional matched filtering techniques for Single Input Multiple Output (SIMO) communications are examined. To improve the signal-to-noise ratio prior to the equalization process, three different techniques are proposed to blindly implement the multidimensional matched filtering. Different from the blind channel identification techniques for SIMO channels in the literature, the proposed techniques require neither the implementation inefficient matrix decomposition methods nor the higher-order statistics of the received data. Therefore, they are favorable over existing methods due to their simplicity in application. The matched filter equivalents are established through the use of an adaptive filter as well as the channel equalization being performed blindly. It has been shown that the equalization performance of the proposed methods are close to the matched filter bound, and to support this, a comparison between the matched filter estimation error performances of our proposed techniques is also provided. A short discussion to improve the convergence speed of the proposed approaches is also included in this paper.

Item Type:Article
Research Community:University of Westminster > Electronics and Computer Science, School of
ID Code:7407
Deposited On:29 Jan 2010 10:41
Last Modified:11 Jun 2013 14:13

Repository Staff Only: item control page